Exploring Usability of Reddit in Data Science and Knowledge Processing

Sawicki, Jan; Ganzha, Maria; Paprzycki, Marcin; Bădică, Amelia

doi:10.12694/scpe.v23i1.1957

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…Reddit ( https://Reddit.com ) has approximately 57 million daily active users until 2023, one of the largest social media outlets in terms of users [ 11 ]. Reddit users can share text, links, images, or videos in various sub-communities (called subreddits and dedicated to specific topics) [ 48 ]. Everyone has access to the public subforum (called subreddits on Reddit), and users can comment and vote on posts and comments for free and anonymously.…”

Section: Methodsmentioning

confidence: 99%

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling

Xu,

Fang,

Huang

et al. 2024

PLoS ONE

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ChatGPT has demonstrated impressive abilities and impacted various aspects of human society since its creation, gaining widespread attention from different social spheres. This study aims to comprehensively assess public perception of ChatGPT on Reddit. The dataset was collected via Reddit, a social media platform, and includes 23,733 posts and comments related to ChatGPT. Firstly, to examine public attitudes, this study conducts content analysis utilizing topic modeling with the Latent Dirichlet Allocation (LDA) algorithm to extract pertinent topics. Furthermore, sentiment analysis categorizes user posts and comments as positive, negative, or neutral using Textblob and Vader in natural language processing. The result of topic modeling shows that seven topics regarding ChatGPT are identified, which can be grouped into three themes: user perception, technical methods, and impacts on society. Results from the sentiment analysis show that 61.6% of the posts and comments hold favorable opinions on ChatGPT. They emphasize ChatGPT’s ability to prompt and engage in natural conversations with users, without relying on complex natural language processing. It provides suggestions for ChatGPT developers to enhance its usability design and functionality. Meanwhile, stakeholders, including users, should comprehend the advantages and disadvantages of ChatGPT in human society to promote ethical and regulated implementation of the system.

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Section: Methodsmentioning

confidence: 99%

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling

Xu,

Fang,

Huang

et al. 2024

PLoS ONE

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“…Two recent overviews of Reddit-related research [14,15] suggested that natural language processing and graph networks are the most popular techniques used to analyze various aspects of Reddit-derived datasets. The following sections discuss the state of the art of the NLP methods, graph networks, and performance evaluation found in Redditrelated work.…”

Section: Pertinent State Of the Art Of Reddit-related Researchmentioning

confidence: 99%

Applying Named Entity Recognition and Graph Networks to Extract Common Interests from Thematic Subfora on Reddit

Sawicki,

Ganzha,

Paprzycki

et al. 2024

Applied Sciences

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Reddit is the largest topically structured social network. Existing literature, reporting results of Reddit-related research, considers different phenomena, from social and political studies to recommender systems. The most common techniques used in these works, include natural language processing, e.g., named entity recognition, as well as graph networks representing online social networks. However, large-scale studies that take into account Reddit’s unique structure are scarce. In this contribution, similarity between subreddits is explored. Specifically, subreddit posts (from 3189 subreddits, spanning the year 2022) are processed using NER to build graph networks which are further mined for relations between subreddits. The evaluation of obtained results follows the state-of-the-art approaches used for a similar problem, i.e., recommender system metrics, and applies recall and AUC. Overall, the use of Reddit crossposts discloses previously unknown relations between subreddits. Interestingly, the proposed approach may allow for researchers to better connect their study topics with particular subreddits and shows promise for subreddit similarity mining.

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“…Reddit consists of over 3.5 million communities (and over 1.5 billion monthly visitors). The most popular Reddit data source is the Pushshift database [13], [14]. The subreddit data was extracted from Pushshift subreddit dumps.…”

Section: A Datasetmentioning

confidence: 99%

Text embeddings and clustering for characterizing online communities on Reddit

Sawicki

2023

Annals of Computer Science and Information Systems

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This work analyses Reddit, the largest public, topiccentered social forum. In the experiments, contextualized text embeddings, obtained using DistilBERT, represented subreddit content. Next, clustering was performed, using an unsupervised K-means algorithm and evaluated with multiple clustering metrics. The obtained clusters were analyzed. Moreover, changes of cluster structure, between 2019 and 2022 have been examined.

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Exploring Usability of Reddit in Data Science and Knowledge Processing

Cited by 5 publications

References 37 publications

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling

Applying Named Entity Recognition and Graph Networks to Extract Common Interests from Thematic Subfora on Reddit

Text embeddings and clustering for characterizing online communities on Reddit

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